wolfhece.PyWMS

Author: HECE - University of Liege, Pierre Archambeau Date: 2024

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Module Contents

wolfhece.PyWMS.to_image(mybytes: io.BytesIO) → PIL.Image[source]

wolfhece.PyWMS.getWalonmap(cat: Literal['IMAGERIE/ORTHO_2021', 'ALEA', 'CADMAP', 'LIDAXES', '$IDW', 'EAU/ZONES_INONDEES'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True) → io.BytesIO[source]

wolfhece.PyWMS.getVlaanderen(cat: Literal['Adpf'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True) → io.BytesIO[source]

wolfhece.PyWMS.getIGNFrance(cat: str, epsg: str, xl, yl, xr, yr, w, h, tofile=True) → io.BytesIO[source]

wolfhece.PyWMS.getLifeWatch(cat: Literal['None'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True, format: Literal['image/png', 'image/png; mode=8bit'] = 'image/png') → io.BytesIO[source]

wolfhece.PyWMS.getNGI(cat: Literal['orthoimage_coverage', 'orthoimage_coverage_2016', 'orthoimage_coverage_2017', 'orthoimage_coverage_2018', 'orthoimage_coverage_2019', 'orthoimage_coverage_2020', 'orthoimage_coverage_2021', 'orthoimage_coverage_2022'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True, format: Literal['image/png', 'image/GeoTIFF'] = 'image/png') → io.BytesIO[source]

wolfhece.PyWMS.getCartoweb(cat: Literal['crossborder', 'crossborder_grey', 'overlay', 'topo', 'topo_grey'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True, format: Literal['image/png', 'image/GeoTIFF'] = 'image/png') → io.BytesIO[source]

wolfhece.PyWMS.getOrthoPostFlood2021(cat: Literal['orthoimage_flood'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True, format: Literal['image/png', 'image/GeoTIFF'] = 'image/png') → io.BytesIO[source]

wolfhece.PyWMS.get_Alaro_times()[source]

wolfhece.PyWMS.get_Alaro_legend(layer: str)[source]

Get the legend of the layer

Parameters:: layer – name of the layer
Returns:: legend of the layer

wolfhece.PyWMS.getAlaro(cat: Literal['10_m_u__wind_component', '10_m_v__wind_component', '2_m_Max_temp_since_ppp', '2_m_Min_temp_since_ppp', '2_m_dewpoint_temperature', '2_m_temperature', '2m_Relative_humidity', 'Convective_rain', 'Convective_snow', 'Geopotential', 'Inst_flx_Conv_Cld_Cover', 'Inst_flx_High_Cld_Cover', 'Inst_flx_Low_Cld_Cover', 'Inst_flx_Medium_Cld_Cover', 'Inst_flx_Tot_Cld_cover', 'Large_scale_rain', 'Large_scale_snow', 'Mean_sea_level_pressure', 'Relative_humidity', 'Relative_humidity_isobaric', 'SBL_Meridian_gust', 'SBL_Zonal_gust', 'Specific_humidity', 'Surf_Solar_radiation', 'Surf_Thermal_radiation', 'Surface_CAPE', 'Surface_Temperature', 'Surface_orography', 'Temperature', 'Total_precipitation', 'U-velocity', 'V-velocity', 'Vertical_velocity', 'Wet_Bulb_Poten_Temper', 'freezing_level_zeroDegC_isotherm'], xl: float, yl: float, xr: float, yr: float, w: int = None, h: int = None, tofile=True, format: Literal['image/png', 'image/GeoTIFF'] = 'image/png', time=None) → io.BytesIO[source]